If you’re looking for a speaker, please contact me at or visit my SpeakerHub profile. Please review my requirements before getting in touch!


Speaking Topics

Data Science/Machine Learning

  • Generating Geofences with Clustering Algorithms
  • Applications of GPU (single or cluster) for deep learning (PyTorch or Tensorflow/Keras)
  • Using Dask to parallelize machine learning
  • Industry specific applications, such as IIOT, Education, and Hospitality
  • Data science team collaboration strategies
  • Cloud Based Machine Learning - putting your workflow in the cloud from end to end
  • Deploying ML Models into Flask or Voila (hands-on)

Data Engineering/Programming

  • Intro to List Comprehensions in Python (lightning talk)
  • Specific data storage technologies: Redshift, PostgreSQL, Elasticsearch
  • Machine learning production workflows using AWS Redshift and Airflow
  • Developing/distributing packages in Python
  • Parallelization for Python: Intro to Dask (30-45 min, can be hands-on)
  • R Functions Workshop (2 hours with hands-on)

Sociological insights on data science, machine learning, and/or AI

  • Democratization of GPU access for machine learning (30-45 min)
  • Public perceptions of ML/AI
  • The meaning of “mistake” in ML


Requirements

Aside from my equity and diversity requirements noted below, I’d ask that you give the following information when requesting my presence at an event.


Diversity and Equity

I believe that our personal values should be reflected in our work, so I don’t participate in events where I am the only woman, events with one or fewer people of color on the speaking schedule, or events organized by groups that don’t explicitly support equal opportunity and require respectful conduct from attendees.

There is an abundance of extremely talented women, people of color, and LGBT+ people in the data science industry, and if you are struggling to find them for your event or job opening, please let me know and I may be able to help connect you.